
Nageswar Undapalli developed and enhanced automated testing and CI/CD infrastructure across NHSDigital repositories, focusing on dtos-service-insights and dtos-cohort-manager. He built a test automation framework using C#, Reqnroll (BDD), and SQL Database integration to enable end-to-end validation of episode data processing, including robust handling of invalid inputs. In dtos-cohort-manager, he refactored Azure DevOps pipelines with YAML and Python scripting to support comprehensive regression suites, scheduled test execution, and improved Slack notifications for test outcomes. His work deepened test coverage, streamlined deployment checks, and improved feedback loops, resulting in more reliable releases and maintainable automation for the engineering teams.

2025-07 Monthly Summary for NHSDigital development teams. This period focused on strengthening release reliability, improving visibility of test activity, and accelerating feedback loops through robust automation and clearer alerts. Repos involved: NHSDigital/dtos-cohort-manager and NHSDigital/dtos-devops-templates.
2025-07 Monthly Summary for NHSDigital development teams. This period focused on strengthening release reliability, improving visibility of test activity, and accelerating feedback loops through robust automation and clearer alerts. Repos involved: NHSDigital/dtos-cohort-manager and NHSDigital/dtos-devops-templates.
2025-06 monthly summary: Two high-impact pipeline enhancements delivered across NHSDigital repositories to boost test automation and release confidence. Key features implemented: Targeted Post-Deployment Tests in NHSDigital/dtos-devops-templates, introducing a new testType parameter to run-post-deployment-pw-tests.yaml for granular test execution; CI/CD: Scheduled Regression Test Execution in NHSDigital/dtos-cohort-manager, refactoring the pipeline into stages and adding a cron-based schedule to run the full regression pack every weekday morning. No major bugs fixed this month. Overall impact: improved testing granularity, reliable regression coverage, and faster feedback to release pipelines, reducing release risk. Technologies/skills demonstrated: YAML pipeline templates and parameterization, cron scheduling, and CI/CD pipeline architecture improvements across multiple repositories.
2025-06 monthly summary: Two high-impact pipeline enhancements delivered across NHSDigital repositories to boost test automation and release confidence. Key features implemented: Targeted Post-Deployment Tests in NHSDigital/dtos-devops-templates, introducing a new testType parameter to run-post-deployment-pw-tests.yaml for granular test execution; CI/CD: Scheduled Regression Test Execution in NHSDigital/dtos-cohort-manager, refactoring the pipeline into stages and adding a cron-based schedule to run the full regression pack every weekday morning. No major bugs fixed this month. Overall impact: improved testing granularity, reliable regression coverage, and faster feedback to release pipelines, reducing release risk. Technologies/skills demonstrated: YAML pipeline templates and parameterization, cron scheduling, and CI/CD pipeline architecture improvements across multiple repositories.
April 2025 monthly summary for NHSDigital/dtos-service-insights: Implemented automated smoke testing and CI integration for DTOSS Release 0; expanded test coverage to include API validations and database validations; prepared release for deployment with robust checks. No major bugs fixed this month.
April 2025 monthly summary for NHSDigital/dtos-service-insights: Implemented automated smoke testing and CI integration for DTOSS Release 0; expanded test coverage to include API validations and database validations; prepared release for deployment with robust checks. No major bugs fixed this month.
March 2025 focused on delivering automated QA capabilities for NHSDigital/dtos-service-insights. Key feature delivered: a new Test Automation Framework for DTOS Service Insights using Reqnroll (BDD). The work includes framework scaffolding, configuration, helper classes for file uploads and database interactions, and smoke test scenarios for episode data processing to validate end-to-end flow, including handling invalid inputs. This foundation enables faster regression testing and higher quality in release cycles.
March 2025 focused on delivering automated QA capabilities for NHSDigital/dtos-service-insights. Key feature delivered: a new Test Automation Framework for DTOS Service Insights using Reqnroll (BDD). The work includes framework scaffolding, configuration, helper classes for file uploads and database interactions, and smoke test scenarios for episode data processing to validate end-to-end flow, including handling invalid inputs. This foundation enables faster regression testing and higher quality in release cycles.
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